README.md

@@ -19,10 +19,9 @@ If you have ComfyUI-Manager, you can simply search "Easyai for ComfyUI" from `Cu
 If you have a comfy-cli, you can simply execute `comfy node registry-install comfyui-easyai` in command line.
 
 ## Usage
-![use](./docs/use.gif)
 - After installation, you can use the Easyai nodes in your ComfyUI workflows.
 - For more detailed usage, please refer to the [金华岩石](https://jinhuayanshi.cn) or [三景AI](https://easyai.jinhuayanshi.cn) websites.
-- Follow me: <img src="./docs/douyin.jpg" width="200" />
+- Follow me:  <img src="./docs/douyin.jpg" width="200" />
 
 ## License
 This project is licensed under the MIT License. See the LICENSE file for details.

__init__.py

@@ -1,5 +1,5 @@
 WEB_DIRECTORY = "js"
-from .nodes import NODE_CLASS_MAPPINGS
+NODE_CLASS_MAPPINGS = {}
 __all__ = ['NODE_CLASS_MAPPINGS']
 
 from aiohttp import ClientSession, web
@@ -9,7 +9,7 @@ from server import PromptServer
 async def upload_workflow(request):
     try:
         data = await request.json()
-        url = data["domain"] + "/v1/openapi/upload/workflow"
+        url = data["domain"] + "/api/v1/openapi/upload/workflow"
         headers = {
             'Content-Type': 'application/json',
             'x-comfy-api-key': data["apiKey"]

js/extension.js

@@ -6,8 +6,17 @@ app.registerExtension({
     name: "ComfyUI-Easyai",
     async setup() {
         const menu = document.querySelector(".comfy-menu");
+        const separator = document.createElement("hr");
 
-        const upload = () => {
+        separator.style.margin = "20px 0";
+        separator.style.width = "100%";
+        menu.append(separator);
+
+        const uploadEasyaiButton = document.createElement("button");
+        uploadEasyaiButton.id = "uploadEasyaiButton";
+        uploadEasyaiButton.textContent = "上传Easyai";
+        // 点击按钮时弹出对话框
+        uploadEasyaiButton.onclick = () => {
             // 创建遮罩层
             const overlay = document.createElement('div');
             overlay.style.position = 'fixed';
@@ -41,7 +50,7 @@ app.registerExtension({
             // 添加域名输入框标签
             const domainLabel = document.createElement('label');
             domainLabel.setAttribute('for', 'domainInput');
-            domainLabel.innerText = 'BaseURL (接口地址):';
+            domainLabel.innerText = 'Domain (域名):';
             domainLabel.style.color = 'white'; // 白色标签文字
             dialog.appendChild(domainLabel);
 
@@ -156,7 +165,7 @@ app.registerExtension({
                         localStorage.setItem('easyai-x-comfy-api-key', apiKey);
                         localStorage.setItem('easyai-domain', domain);
                         app.graphToPrompt().then((p2) => {
-                            const workflow = JSON.stringify(p2.output, null, 2);
+                            const workflow = JSON.stringify(p2.output);
                             api.fetchApi('/easyai/upload_workflow', {
                                 method: 'POST',
                                 headers: {
@@ -200,27 +209,6 @@ app.registerExtension({
             }
         };
 
-        try {
-			let cmGroup = new (await import("../../scripts/ui/components/buttonGroup.js")).ComfyButtonGroup(
-				new(await import("../../scripts/ui/components/button.js")).ComfyButton({
-					icon: "upload",
-					action: upload,
-					tooltip: "上传Easyai"
-				}).element
-			);
-
-			app.menu?.settingsGroup.element.after(cmGroup.element);
-		}
-		catch(exception) {
-			console.log('ComfyUI is outdated. New style menu based features are disabled.');
-		}
-
-        const uploadEasyaiButton = document.createElement("button");
-        uploadEasyaiButton.id = "uploadEasyaiButton";
-        uploadEasyaiButton.textContent = "上传Easyai";
-        // 点击按钮时弹出对话框
-        uploadEasyaiButton.onclick = upload;
-
         uploadEasyaiButton.style.background = "linear-gradient(135deg, #8A00FF 0%, #00FFC6 100%)";
         uploadEasyaiButton.style.color = "black";
         uploadEasyaiButton.style.display = "inline-block";

nodes.py

@@ -1,51 +0,0 @@
-import soundfile as sf
-import requests
-import io
-import numpy as np
-import torch
-
-class AudioLoadPath:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {"required": { "path": ("STRING", {"default": "X://insert/path/here.mp4"}),
-                              "sample_rate": ("INT", {"default": 22050, "min": 6000, "max": 192000, "step": 1}),
-                              "offset": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1e6, "step": 0.001}),
-                              "duration": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1e6, "step": 0.001})}}
-
-    RETURN_TYPES = ("AUDIO", )
-    CATEGORY = "Audio Reactor"
-    FUNCTION = "load"
-
-    def load(self, path: str, sample_rate: int, offset: float, duration: float|None):
-        if duration == 0.0:
-            duration = None
-
-        if path.startswith(('http://', 'https://')):
-            # 对于网络路径，直接从内存加载
-            try:
-                response = requests.get(path)
-                response.raise_for_status()
-                audio_data = io.BytesIO(response.content)
-
-                # 使用 soundfile 从内存中读取音频数据
-                audio, file_sr = sf.read(audio_data)
-
-                # 如果需要重采样
-                if file_sr != sample_rate:
-                    # 这里需要添加重采样逻辑
-                    # 可以使用 librosa.resample 或其他方法
-                    pass
-
-            except Exception as e:
-                raise Exception(f"加载网络音频失败: {str(e)}")
-        else:
-            # 本地文件使用原有的 librosa 方式加载
-            audio, _ = librosa.load(path, sr=sample_rate, offset=offset, duration=duration)
-
-        # 转换为 torch tensor 并调整维度
-        audio = torch.from_numpy(audio)[None,:,None]
-        return (audio,)
-
-NODE_CLASS_MAPPINGS = {
-    "AudioLoadPath": AudioLoadPath,
-}